Hybrid Transformer–LSTM Forecasting and PPO-Based Intelligent Kubernetes Auto-Scaling Framework for Cloud Data Science Pipelines Using Predictive Workload Analytics and Multi-Objective Performance Optimization
A novel prediction-based framework with an integrated intelligent auto-scaler based on a Hybrid Transformer-LSTM forecasting model and a Proximal Policy Optimization (PPO) reinforcement learning (RL) agent that outperforms conventional HPA/VPA and baseline ML scalers by offering improved accuracy, speed of scaling, red...